How is Data Science Used in Manufacturing?
Here are 8 of the most popular types of data science in manufacturing and how they affect productivity, minimize risk, and increase profit.
Automotive
Versatech Increased OEE 30%
Consumer Package Goods
Oral Biotech Eliminated Scrap
Food/Beverage
Louisiana Fish Fry Increases OEE 12%
Metal Stamping
H&T Waterbury Reduced Downtime 71%
Blow Molding
Lyons Blow Molding Automated Reporting & Labeling
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Here are 8 of the most popular types of data science in manufacturing and how they affect productivity, minimize risk, and increase profit.
This blog provides insight into the best food manufacturing KPIs and what data can be gathered to help impact those metrics.
Create a company culture values evidence-based decision making. A more informed workforce = a more engaged workforce = a more productive workforce.
Manufacturing confuses connectivity and analytics with broad, business-focused data management promised by an ERP, BI, or MES.
We’ve taken the time to curate a few of our favorite and most informative topics since 2016. Without ado, the Mingo Greatest Hits:
Round-up of the Smart Factory Summit event in Columbus, Ohio. A day of learning for manufacturers interested in the connected factory floor.
Manufacturers fall into 2 categories – discrete that make things and process that make stuff. Difference between discrete and process manufacturing?
Compared to an IoT platform, manufacturing analytics is purpose-built to connect machines and operators in order to track production KPIs.
What is manufacturing excellence, exactly? It’s a broad term, but we define it as better data and visibility into the production process.
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